7 citations · 21 across the 12 of their papers we have counts for
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cs.LG2018
Separability is not the best goal for machine learning
Wlodzislaw Duch
Neural networks use their hidden layers to transform input data into linearly separable data clusters, with a linear or a perceptron type output layer making the final projection o…
cs.LG2018★ 2 cited
Meta-learning: searching in the model space
Włodzisław Duch, Karol Grudzińsk
There is no free lunch, no single learning algorithm that will outperform other algorithms on all data. In practice different approaches are tried and the best algorithm selected.…
cs.NE2018★ 1 cited
Coloring black boxes: visualization of neural network decisions
Wlodzislaw Duch
Neural networks are commonly regarded as black boxes performing incomprehensible functions. For classification problems networks provide maps from high dimensional feature space to…